annotate pima_report.py @ 11:4a7c31f28197 draft

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author greg
date Thu, 09 Mar 2023 18:34:01 +0000
parents 7c4077c9b3ad
children 99613333fd1f
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1 import argparse
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2 import os
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3 import pandas
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4 import pypandoc
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5 import re
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6 import subprocess
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7 import sys
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8
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9 from Bio import SeqIO
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10 from datetime import date
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11 from mdutils.mdutils import MdUtils
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12
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13 CDC_ADVISORY = 'The analysis and report presented here should be treated as preliminary. Please contact the CDC/BDRD with any results regarding _Bacillus anthracis_.'
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14
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15
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16 class PimaReport:
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17
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18 def __init__(self, analysis_name=None, amr_deletions_file=None, amr_matrix_files=None, assembly_fasta_file=None,
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19 assembly_name=None, blastn_version=None, compute_sequence_length_file=None, contig_coverage_file=None,
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20 dbkey=None, dnadiff_snps_file=None, dnadiff_version=None, feature_bed_files=None, feature_png_files=None,
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21 flye_assembly_info_file=None, flye_version=None, genome_insertions_file=None, gzipped=None,
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22 illumina_fastq_file=None, kraken2_report_file=None, kraken2_version=None, mutation_regions_bed_file=None,
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23 mutation_regions_tsv_files=None, pima_css=None, plasmids_file=None, reference_insertions_file=None):
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24 self.ofh = open("process_log.txt", "w")
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25
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26 self.ofh.write("amr_deletions_file: %s\n" % str(amr_deletions_file))
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27 self.ofh.write("amr_matrix_files: %s\n" % str(amr_matrix_files))
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28 self.ofh.write("analysis_name: %s\n" % str(analysis_name))
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29 self.ofh.write("assembly_fasta_file: %s\n" % str(assembly_fasta_file))
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30 self.ofh.write("assembly_name: %s\n" % str(assembly_name))
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31 self.ofh.write("blastn_version: %s\n" % str(blastn_version))
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32 self.ofh.write("compute_sequence_length_file: %s\n" % str(compute_sequence_length_file))
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33 self.ofh.write("contig_coverage_file: %s\n" % str(contig_coverage_file))
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34 self.ofh.write("dbkey: %s\n" % str(dbkey))
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35 self.ofh.write("dnadiff_snps_file: %s\n" % str(dnadiff_snps_file))
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36 self.ofh.write("dnadiff_version: %s\n" % str(dnadiff_version))
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37 self.ofh.write("feature_bed_files: %s\n" % str(feature_bed_files))
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38 self.ofh.write("feature_png_files: %s\n" % str(feature_png_files))
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39 self.ofh.write("flye_assembly_info_file: %s\n" % str(flye_assembly_info_file))
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40 self.ofh.write("flye_version: %s\n" % str(flye_version))
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41 self.ofh.write("gzipped: %s\n" % str(gzipped))
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42 self.ofh.write("genome_insertions_file: %s\n" % str(genome_insertions_file))
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43 self.ofh.write("illumina_fastq_file: %s\n" % str(illumina_fastq_file))
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44 self.ofh.write("kraken2_report_file: %s\n" % str(kraken2_report_file))
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45 self.ofh.write("kraken2_version: %s\n" % str(kraken2_version))
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46 self.ofh.write("mutation_regions_bed_file: %s\n" % str(mutation_regions_bed_file))
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47 self.ofh.write("mutation_regions_tsv_files: %s\n" % str(mutation_regions_tsv_files))
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48 self.ofh.write("pima_css: %s\n" % str(pima_css))
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49 self.ofh.write("plasmids_file: %s\n" % str(plasmids_file))
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50 # self.ofh.write("reference_genome: %s\n" % str(reference_genome))
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51 self.ofh.write("reference_insertions_file: %s\n" % str(reference_insertions_file))
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52
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53 # General
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54 self.doc = None
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55 self.report_md = 'pima_report.md'
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56
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57 # Inputs
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58 self.amr_deletions_file = amr_deletions_file
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59 self.amr_matrix_files = amr_matrix_files
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60 self.analysis_name = analysis_name
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61 self.assembly_fasta_file = assembly_fasta_file
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62 self.assembly_name = assembly_name
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63 self.blastn_version = blastn_version
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64 self.compute_sequence_length_file = compute_sequence_length_file
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65 self.contig_coverage_file = contig_coverage_file
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66 self.dbkey = dbkey
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67 self.dnadiff_snps_file = dnadiff_snps_file
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68 self.dnadiff_version = dnadiff_version
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69 self.feature_bed_files = feature_bed_files
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70 self.feature_png_files = feature_png_files
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71 self.flye_assembly_info_file = flye_assembly_info_file
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72 self.flye_version = flye_version
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73 self.gzipped = gzipped
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74 self.genome_insertions_file = genome_insertions_file
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75 self.illumina_fastq_file = illumina_fastq_file
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76 self.kraken2_report_file = kraken2_report_file
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77 self.kraken2_version = kraken2_version
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78 self.mutation_regions_bed_file = mutation_regions_bed_file
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79 self.mutation_regions_tsv_files = mutation_regions_tsv_files
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80 self.read_type = 'Illumina'
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81 self.ont_bases = None
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82 self.ont_n50 = None
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83 self.ont_read_count = None
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84 self.pima_css = pima_css
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85 self.plasmids_file = plasmids_file
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86 # self.reference_genome = reference_genome
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87 self.reference_insertions_file = reference_insertions_file
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88
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89 # Titles
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90 self.alignment_title = 'Comparison with reference'
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91 self.alignment_notes_title = 'Alignment notes'
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92 self.amr_matrix_title = 'AMR matrix'
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93 self.assembly_methods_title = 'Assembly'
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94 self.assembly_notes_title = 'Assembly notes'
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95 self.basecalling_title = 'Basecalling'
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96 self.basecalling_methods_title = 'Basecalling'
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97 self.contamination_methods_title = 'Contamination check'
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98 self.contig_alignment_title = 'Alignment vs. reference contigs'
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99 self.feature_title = 'Features found in the assembly'
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100 self.feature_methods_title = 'Feature annotation'
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101 self.feature_plot_title = 'Feature annotation plots'
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102 self.large_indel_title = 'Large insertions & deletions'
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103 self.methods_title = 'Methods'
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104 self.mutation_title = 'Mutations found in the sample'
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105 self.mutation_methods_title = 'Mutation screening'
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106 self.plasmid_methods_title = 'Plasmid annotation'
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107 self.plasmid_title = 'Plasmid annotation'
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108 self.reference_methods_title = 'Reference comparison'
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109 self.snp_indel_title = 'SNPs and small indels'
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110 self.summary_title = 'Analysis of %s' % analysis_name
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111
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112 # Methods
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113 self.methods = pandas.Series(dtype='float64')
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114 self.methods[self.contamination_methods_title] = pandas.Series(dtype='float64')
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115 self.methods[self.assembly_methods_title] = pandas.Series(dtype='float64')
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116 self.methods[self.reference_methods_title] = pandas.Series(dtype='float64')
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117 self.methods[self.mutation_methods_title] = pandas.Series(dtype='float64')
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118 self.methods[self.feature_methods_title] = pandas.Series(dtype='float64')
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119 self.methods[self.plasmid_methods_title] = pandas.Series(dtype='float64')
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120
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121 # Notes
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122 self.assembly_notes = pandas.Series(dtype=object)
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123 self.alignment_notes = pandas.Series(dtype=object)
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124 self.contig_alignment = pandas.Series(dtype=object)
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125
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126 # Values
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127 self.assembly_size = 0
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128 self.contig_info = None
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129 self.did_medaka_ont_assembly = False
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130 self.feature_hits = pandas.Series(dtype='float64')
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131 self.illumina_length_mean = 0
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132 self.illumina_read_count = 0
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133 self.illumina_bases = 0
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134 self.mean_coverage = 0
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135 self.num_assembly_contigs = 0
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136 # TODO: should the following 2 values be passed as parameters?
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137 self.ont_n50_min = 2500
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138 self.ont_coverage_min = 30
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139 self.quast_indels = 0
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140 self.quast_mismatches = 0
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141
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142 # Actions
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143 self.did_guppy_ont_fast5 = False
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144 self.did_qcat_ont_fastq = False
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145 self.info_illumina_fastq()
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146 self.load_contig_info()
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147
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148 def run_command(self, command):
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149 self.ofh.write("\nXXXXXX In run_command, command:\n%s\n\n" % str(command))
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150 try:
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151 return re.split('\\n', subprocess.check_output(command, shell=True).decode('utf-8'))
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152 except Exception:
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153 message = 'Command %s failed: exiting...' % command
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154 sys.exit(message)
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155
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156 def format_kmg(self, number, decimals=0):
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157 self.ofh.write("\nXXXXXX In format_kmg, number:\n%s\n" % str(number))
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158 self.ofh.write("XXXXXX In format_kmg, decimals:\n%s\n\n" % str(decimals))
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159 if number == 0:
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160 return '0'
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161 magnitude_powers = [10**9, 10**6, 10**3, 1]
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162 magnitude_units = ['G', 'M', 'K', '']
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163 for i in range(len(magnitude_units)):
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164 if number >= magnitude_powers[i]:
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165 magnitude_power = magnitude_powers[i]
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166 magnitude_unit = magnitude_units[i]
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167 return ('{:0.' + str(decimals) + 'f}').format(number / magnitude_power) + magnitude_unit
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168
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169 def load_contig_info(self):
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170 self.contig_info = pandas.Series(dtype=object)
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171 self.contig_info[self.read_type] = pandas.read_csv(self.contig_coverage_file, header=None, index_col=None, sep='\t').sort_values(1, axis=0, ascending=False)
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172 self.contig_info[self.read_type].columns = ['contig', 'size', 'coverage']
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173 self.mean_coverage = (self.contig_info[self.read_type].iloc[:, 1] * self.contig_info[self.read_type].iloc[:, 2]).sum() / self.contig_info[self.read_type].iloc[:, 1].sum()
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174 if self.mean_coverage <= self.ont_coverage_min:
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175 warning = '%s mean coverage ({:.0f}X) is less than the recommended minimum ({:.0f}X).'.format(self.mean_coverage, self.ont_coverage_min) % self.read_type
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176 self.assembly_notes = self.assembly_notes.append(pandas.Series(warning))
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177 # Report if some contigs have low coverage.
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178 low_coverage = self.contig_info[self.read_type].loc[self.contig_info[self.read_type]['coverage'] < self.ont_coverage_min, :]
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179 if low_coverage.shape[0] >= 0:
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180 for contig_i in range(low_coverage.shape[0]):
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181 warning = '%s coverage of {:s} ({:.0f}X) is less than the recommended minimum ({:.0f}X).'.format(low_coverage.iloc[contig_i, 0], low_coverage.iloc[contig_i, 2], self.ont_coverage_min) % self.read_type
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182 self.assembly_notes = self.assembly_notes.append(pandas.Series(warning))
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183 # See if some contigs have anolously low coverage.
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184 fold_coverage = self.contig_info[self.read_type]['coverage'] / self.mean_coverage
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185 low_coverage = self.contig_info[self.read_type].loc[fold_coverage < 1 / 5, :]
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186 if low_coverage.shape[0] >= 0:
1
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187 for contig_i in range(low_coverage.shape[0]):
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188 warning = '%s coverage of {:s} ({:.0f}X) is less than 1/5 the mean coverage ({:.0f}X).'.format(low_coverage.iloc[contig_i, 0], low_coverage.iloc[contig_i, 2], self.mean_coverage) % self.read_type
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189 self.assembly_notes = self.assembly_notes.append(pandas.Series(warning))
0
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190
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191 def load_fasta(self, fasta):
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192 sequence = pandas.Series(dtype=object)
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193 for contig in SeqIO.parse(fasta, 'fasta'):
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194 sequence[contig.id] = contig
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195 return sequence
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196
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197 def load_assembly(self):
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198 self.assembly = self.load_fasta(self.assembly_fasta_file)
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199 self.num_assembly_contigs = len(self.assembly)
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200 for i in self.assembly:
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201 self.assembly_size += len(i.seq)
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202 self.assembly_size = self.format_kmg(self.assembly_size, decimals=1)
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203
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204 def info_illumina_fastq(self):
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205 self.ofh.write("\nXXXXXX In info_illumina_fastq\n\n")
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206 if self.gzipped:
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207 opener = 'gunzip -c'
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208 else:
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209 opener = 'cat'
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210 command = ' '.join([opener,
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211 self.illumina_fastq_file,
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212 '| awk \'{getline;s += length($1);getline;getline;}END{print s/(NR/4)"\t"(NR/4)"\t"s}\''])
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213 output = self.run_command(command)
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214 self.ofh.write("output:\n%s\n" % str(output))
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215 self.ofh.write("re.split('\\t', self.run_command(command)[0]:\n%s\n" % str(re.split('\\t', self.run_command(command)[0])))
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216 values = []
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217 for i in re.split('\\t', self.run_command(command)[0]):
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218 if i == '':
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219 values.append(float('nan'))
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220 else:
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221 values.append(float(i))
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222 self.ofh.write("values:\n%s\n" % str(values))
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223 self.ofh.write("values[0]:\n%s\n" % str(values[0]))
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224 self.illumina_length_mean += values[0]
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225 self.ofh.write("values[1]:\n%s\n" % str(values[1]))
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226 self.illumina_read_count += int(values[1])
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227 self.ofh.write("values[2]:\n%s\n" % str(values[2]))
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228 self.illumina_bases += int(values[2])
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229 # The original PIMA code inserts self.illumina_fastq into
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230 # a list for no apparent reason. We don't do that here.
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231 # self.illumina_length_mean /= len(self.illumina_fastq)
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232 self.illumina_length_mean /= 1
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233 self.illumina_bases = self.format_kmg(self.illumina_bases, decimals=1)
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234
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235 def start_doc(self):
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236 self.doc = MdUtils(file_name=self.report_md, title='')
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237
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238 def add_run_information(self):
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239 self.ofh.write("\nXXXXXX In add_run_information\n\n")
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240 self.doc.new_line()
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241 self.doc.new_header(1, 'Run information')
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242 # Tables in md.utils are implemented as a wrapping function.
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243 Table_list = [
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244 "Category",
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245 "Information",
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246 "Date",
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247 date.today(),
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248 "ONT FAST5",
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249 "N/A",
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250 "ONT FASTQ",
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251 "N/A",
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252 "Illumina FASTQ",
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253 self.wordwrap_markdown(self.analysis_name),
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254 "Assembly",
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parents:
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255 self.wordwrap_markdown(self.assembly_name),
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parents:
diff changeset
256 "Reference",
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parents:
diff changeset
257 self.wordwrap_markdown(self.dbkey),
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258 ]
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259 self.doc.new_table(columns=2, rows=7, text=Table_list, text_align='left')
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260 self.doc.new_line()
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diff changeset
261 self.doc.new_line()
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262
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263 def add_ont_library_information(self):
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264 self.ofh.write("\nXXXXXX In add_ont_library_information\n\n")
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265 if self.ont_n50 is None:
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266 return
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267 self.doc.new_line()
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268 self.doc.new_header(2, 'ONT library statistics')
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269 Table_List = [
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270 "Category",
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diff changeset
271 "Quantity",
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parents:
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272 "ONT N50",
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parents:
diff changeset
273 '{:,}'.format(self.ont_n50),
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parents:
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274 "ONT reads",
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parents:
diff changeset
275 '{:,}'.format(self.ont_read_count),
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276 "ONT bases",
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parents:
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277 '{:s}'.format(self.ont_bases),
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parents:
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278 "Illumina FASTQ",
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279 self.wordwrap_markdown(self.illumina_fastq_file),
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parents:
diff changeset
280 "Assembly",
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281 self.wordwrap_markdown(self.assembly_name),
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diff changeset
282 "Reference",
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283 self.wordwrap_markdown(self.dbkey),
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diff changeset
284 ]
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285 self.doc.new_table(columns=2, rows=7, text=Table_List, text_align='left')
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diff changeset
286 self.doc.new_line()
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287
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288 def add_illumina_library_information(self):
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289 self.ofh.write("\nXXXXXX In add_illumina_library_information\n\n")
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parents:
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290 if self.illumina_length_mean is None:
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291 return
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292 self.doc.new_line()
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293 self.doc.new_header(2, 'Illumina library statistics')
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294 Table_List = [
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295 "Illumina Info.",
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parents:
diff changeset
296 "Quantity",
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parents:
diff changeset
297 'Illumina mean length',
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parents:
diff changeset
298 '{:.1f}'.format(self.illumina_length_mean),
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299 'Illumina reads',
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parents:
diff changeset
300 '{:,}'.format(self.illumina_read_count),
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parents:
diff changeset
301 'Illumina bases',
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parents:
diff changeset
302 '{:s}'.format(self.illumina_bases)
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parents:
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303 ]
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304 self.doc.new_table(columns=2, rows=4, text=Table_List, text_align='left')
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305
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306 def evaluate_assembly(self):
1
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307 assembly_info = pandas.read_csv(self.compute_sequence_length_file, sep='\t', header=None)
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308 assembly_info.columns = ['contig', 'length']
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309 self.contig_sizes = assembly_info
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310 # Take a look at the number of contigs, their sizes,
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parents: 0
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311 # and circularity. Warn if things don't look good.
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parents: 0
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312 if assembly_info.shape[0] > 4:
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313 warning = 'Assembly produced {:d} contigs, more than ususally expected; assembly may be fragmented'.format(assembly_info.shape[0])
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314 self.assembly_notes = self.assembly_notes.append(pandas.Series(warning))
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parents: 0
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315 small_contigs = assembly_info.loc[assembly_info['length'] <= 3000, :]
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parents: 0
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316 if small_contigs.shape[0] > 0:
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parents: 0
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317 warning = 'Assembly produced {:d} small contigs ({:s}); assembly may include spurious sequences.'.format(small_contigs.shape[0], ', '.join(small_contigs['contig']))
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parents: 0
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318 self.assembly_notes = self.assembly_notes.append(pandas.Series(warning))
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parents: 0
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319
0
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diff changeset
320 def add_assembly_information(self):
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321 self.ofh.write("\nXXXXXX In add_assembly_information\n\n")
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parents:
diff changeset
322 if self.assembly_fasta_file is None:
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323 return
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diff changeset
324 self.load_assembly()
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325 self.doc.new_line()
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diff changeset
326 self.doc.new_header(2, 'Assembly statistics')
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parents:
diff changeset
327 Table_List = [
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diff changeset
328 "Category",
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parents:
diff changeset
329 "Information",
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parents:
diff changeset
330 "Contigs",
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parents:
diff changeset
331 str(self.num_assembly_contigs),
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parents:
diff changeset
332 "Assembly size",
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parents:
diff changeset
333 str(self.assembly_size),
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parents:
diff changeset
334 ]
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335 self.doc.new_table(columns=2, rows=3, text=Table_List, text_align='left')
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336
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diff changeset
337 def info_ont_fastq(self, fastq_file):
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parents:
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338 self.ofh.write("\nXXXXXX In info_ont_fastq, fastq_file:\n%s\n\n" % str(fastq_file))
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parents:
diff changeset
339 opener = 'cat'
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parents:
diff changeset
340 if self.gzipped:
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341 opener = 'gunzip -c'
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parents:
diff changeset
342 else:
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diff changeset
343 opener = 'cat'
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parents:
diff changeset
344 command = ' '.join([opener,
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parents:
diff changeset
345 fastq_file,
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diff changeset
346 '| awk \'{getline;print length($0);s += length($1);getline;getline;}END{print "+"s}\'',
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parents:
diff changeset
347 '| sort -gr',
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parents:
diff changeset
348 '| awk \'BEGIN{bp = 0;f = 0}',
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parents:
diff changeset
349 '{if(NR == 1){sub(/+/, "", $1);s=$1}else{bp += $1;if(bp > s / 2 && f == 0){n50 = $1;f = 1}}}',
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350 'END{printf "%d\\t%d\\t%d\\n", n50, (NR - 1), s;exit}\''])
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351 result = list(re.split('\\t', self.run_command(command)[0]))
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parents:
diff changeset
352 if result[1] == '0':
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diff changeset
353 self.error_out('No ONT reads found')
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354 ont_n50, ont_read_count, ont_raw_bases = [int(i) for i in result]
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parents:
diff changeset
355 command = ' '.join([opener,
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parents:
diff changeset
356 fastq_file,
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parents:
diff changeset
357 '| awk \'{getline;print length($0);getline;getline;}\''])
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parents:
diff changeset
358 result = self.run_command(command)
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parents:
diff changeset
359 result = list(filter(lambda x: x != '', result))
1
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parents: 0
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360 # TODO: the following are not yet used...
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parents: 0
diff changeset
361 # ont_read_lengths = [int(i) for i in result]
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parents: 0
diff changeset
362 # ont_bases = self.format_kmg(ont_raw_bases, decimals=1)
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parents: 0
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363 if ont_n50 <= self.ont_n50_min:
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parents: 0
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364 warning = 'ONT N50 (%s) is less than the recommended minimum (%s)' % (str(ont_n50), str(self.ont_n50_min))
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parents: 0
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365 self.assembly_notes = self.assembly_notes.append(pandas.Series(warning))
0
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diff changeset
366
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diff changeset
367 def wordwrap_markdown(self, string):
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parents:
diff changeset
368 if string:
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parents:
diff changeset
369 if len(string) < 35:
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parents:
diff changeset
370 return string
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parents:
diff changeset
371 else:
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parents:
diff changeset
372 if '/' in string:
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diff changeset
373 adjust = string.split('/')
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parents:
diff changeset
374 out = ''
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parents:
diff changeset
375 max = 35
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parents:
diff changeset
376 for i in adjust:
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parents:
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377 out = out + '/' + i
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parents:
diff changeset
378 if len(out) > max:
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parents:
diff changeset
379 out += '<br>'
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parents:
diff changeset
380 max += 35
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parents:
diff changeset
381 return out
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parents:
diff changeset
382 else:
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parents:
diff changeset
383 out = [string[i:i + 35] for i in range(0, len(string), 50)]
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parents:
diff changeset
384 return '<br>'.join(out)
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parents:
diff changeset
385 else:
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parents:
diff changeset
386 return string
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387
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parents:
diff changeset
388 def add_contig_info(self):
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parents:
diff changeset
389 self.ofh.write("\nXXXXXX In add_contig_info\n\n")
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parents:
diff changeset
390 if self.contig_info is None:
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parents:
diff changeset
391 return
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parents:
diff changeset
392 for method in ['ONT', 'Illumina']:
0a558f444c98 Uploaded
greg
parents:
diff changeset
393 if method not in self.contig_info.index:
0a558f444c98 Uploaded
greg
parents:
diff changeset
394 continue
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greg
parents:
diff changeset
395 self.doc.new_line()
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greg
parents:
diff changeset
396 self.doc.new_header(2, 'Assembly coverage by ' + method)
0a558f444c98 Uploaded
greg
parents:
diff changeset
397 Table_List = ["Contig", "Length (bp)", "Coverage (X)"]
0a558f444c98 Uploaded
greg
parents:
diff changeset
398 formatted = self.contig_info[method].copy()
0a558f444c98 Uploaded
greg
parents:
diff changeset
399 formatted.iloc[:, 1] = formatted.iloc[:, 1].apply(lambda x: '{:,}'.format(x))
0a558f444c98 Uploaded
greg
parents:
diff changeset
400 for i in range(self.contig_info[method].shape[0]):
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greg
parents:
diff changeset
401 Table_List = Table_List + formatted.iloc[i, :].values.tolist()
0a558f444c98 Uploaded
greg
parents:
diff changeset
402 row_count = int(len(Table_List) / 3)
0a558f444c98 Uploaded
greg
parents:
diff changeset
403 self.doc.new_table(columns=3, rows=row_count, text=Table_List, text_align='left')
0a558f444c98 Uploaded
greg
parents:
diff changeset
404
0a558f444c98 Uploaded
greg
parents:
diff changeset
405 def add_assembly_notes(self):
0a558f444c98 Uploaded
greg
parents:
diff changeset
406 self.ofh.write("\nXXXXXX In add_assembly_notes\n\n")
0a558f444c98 Uploaded
greg
parents:
diff changeset
407 if len(self.assembly_notes) == 0:
0a558f444c98 Uploaded
greg
parents:
diff changeset
408 return
0a558f444c98 Uploaded
greg
parents:
diff changeset
409 self.doc.new_line()
0a558f444c98 Uploaded
greg
parents:
diff changeset
410 self.doc.new_line('<div style="page-break-after: always;"></div>')
0a558f444c98 Uploaded
greg
parents:
diff changeset
411 self.doc.new_line()
0a558f444c98 Uploaded
greg
parents:
diff changeset
412 self.doc.new_header(2, self.assembly_notes_title)
1
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
413 for note in self.assembly_notes:
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
414 self.doc.new_line(note)
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
415
0a558f444c98 Uploaded
greg
parents:
diff changeset
416 def add_contamination(self):
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greg
parents:
diff changeset
417 self.ofh.write("\nXXXXXX In add_contamination\n\n")
2
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
418 if self.kraken2_report_file is None:
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
419 return
2
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
420 # Read in the Kraken fractions and pull out the useful parts
8
66c7cdf7e93f Uploaded
greg
parents: 7
diff changeset
421 kraken_fracs = pandas.read_csv(self.kraken2_report_file, delimiter='\t', header=None)
66c7cdf7e93f Uploaded
greg
parents: 7
diff changeset
422 kraken_fracs.index = kraken_fracs.iloc[:, 4].values
66c7cdf7e93f Uploaded
greg
parents: 7
diff changeset
423 kraken_fracs = kraken_fracs.loc[kraken_fracs.iloc[:, 3].str.match('[UG]1?'), :]
66c7cdf7e93f Uploaded
greg
parents: 7
diff changeset
424 kraken_fracs = kraken_fracs.loc[(kraken_fracs.iloc[:, 0] >= 1) | (kraken_fracs.iloc[:, 3] == 'U'), :]
66c7cdf7e93f Uploaded
greg
parents: 7
diff changeset
425 kraken_fracs = kraken_fracs.iloc[:, [0, 1, 3, 5]]
66c7cdf7e93f Uploaded
greg
parents: 7
diff changeset
426 kraken_fracs.columns = ['Fraction', 'Reads', 'Level', 'Taxa']
66c7cdf7e93f Uploaded
greg
parents: 7
diff changeset
427 kraken_fracs['Fraction'] = (kraken_fracs['Fraction'] / 100).round(4)
66c7cdf7e93f Uploaded
greg
parents: 7
diff changeset
428 kraken_fracs.sort_values(by='Fraction', inplace=True, ascending=False)
66c7cdf7e93f Uploaded
greg
parents: 7
diff changeset
429 kraken_fracs['Taxa'] = kraken_fracs['Taxa'].str.lstrip()
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
430 self.doc.new_line()
0a558f444c98 Uploaded
greg
parents:
diff changeset
431 self.doc.new_header(2, 'Contamination check')
10
7c4077c9b3ad Uploaded
greg
parents: 9
diff changeset
432 self.doc.new_line(self.read_type + ' classifications')
7c4077c9b3ad Uploaded
greg
parents: 9
diff changeset
433 self.doc.new_line()
7c4077c9b3ad Uploaded
greg
parents: 9
diff changeset
434 Table_List = ["Percent of Reads", "Reads", "Level", "Label"]
7c4077c9b3ad Uploaded
greg
parents: 9
diff changeset
435 for index, row in kraken_fracs.iterrows():
7c4077c9b3ad Uploaded
greg
parents: 9
diff changeset
436 Table_List = Table_List + row.tolist()
7c4077c9b3ad Uploaded
greg
parents: 9
diff changeset
437 row_count = int(len(Table_List) / 4)
7c4077c9b3ad Uploaded
greg
parents: 9
diff changeset
438 self.doc.new_table(columns=4, rows=row_count, text=Table_List, text_align='left')
7c4077c9b3ad Uploaded
greg
parents: 9
diff changeset
439 if self.contamination_methods_title not in self.methods:
7c4077c9b3ad Uploaded
greg
parents: 9
diff changeset
440 self.methods[self.contamination_methods_title] = ''
11
4a7c31f28197 Uploaded
greg
parents: 10
diff changeset
441 method = '%s was used to assign the raw reads into taxa.' % self.kraken2_version.rstrip('report')
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
442 self.methods[self.contamination_methods_title] = self.methods[self.contamination_methods_title].append(pandas.Series(method))
0a558f444c98 Uploaded
greg
parents:
diff changeset
443
0a558f444c98 Uploaded
greg
parents:
diff changeset
444 def add_alignment(self):
0a558f444c98 Uploaded
greg
parents:
diff changeset
445 self.ofh.write("\nXXXXXX In add_alignment\n\n")
0a558f444c98 Uploaded
greg
parents:
diff changeset
446 # TODO: implement the draw_circos function for this.
0a558f444c98 Uploaded
greg
parents:
diff changeset
447 if len(self.contig_alignment) > 0:
0a558f444c98 Uploaded
greg
parents:
diff changeset
448 alignments = self.contig_alignment
0a558f444c98 Uploaded
greg
parents:
diff changeset
449 else:
0a558f444c98 Uploaded
greg
parents:
diff changeset
450 return
0a558f444c98 Uploaded
greg
parents:
diff changeset
451 self.doc.new_line()
0a558f444c98 Uploaded
greg
parents:
diff changeset
452 self.doc.new_header(level=2, title=self.alignment_title)
0a558f444c98 Uploaded
greg
parents:
diff changeset
453 self.doc.new_line()
0a558f444c98 Uploaded
greg
parents:
diff changeset
454 self.doc.new_header(level=3, title=self.snp_indel_title)
0a558f444c98 Uploaded
greg
parents:
diff changeset
455 Table_1 = [
0a558f444c98 Uploaded
greg
parents:
diff changeset
456 "Category",
0a558f444c98 Uploaded
greg
parents:
diff changeset
457 "Quantity",
0a558f444c98 Uploaded
greg
parents:
diff changeset
458 'SNPs',
1
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
459 '{:,}'.format(self.quast_mismatches),
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
460 'Small indels',
1
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
461 '{:,}'.format(self.quast_indels)
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
462 ]
0a558f444c98 Uploaded
greg
parents:
diff changeset
463 self.doc.new_table(columns=2, rows=3, text=Table_1, text_align='left')
0a558f444c98 Uploaded
greg
parents:
diff changeset
464 self.doc.new_line('<div style="page-break-after: always;"></div>')
0a558f444c98 Uploaded
greg
parents:
diff changeset
465 self.doc.new_line()
0a558f444c98 Uploaded
greg
parents:
diff changeset
466 if len(self.alignment_notes) > 0:
0a558f444c98 Uploaded
greg
parents:
diff changeset
467 self.doc.new_header(level=3, title=self.alignment_notes_title)
0a558f444c98 Uploaded
greg
parents:
diff changeset
468 for note in self.alignment_notes:
0a558f444c98 Uploaded
greg
parents:
diff changeset
469 self.doc.new_line(note)
0a558f444c98 Uploaded
greg
parents:
diff changeset
470 for contig in alignments.index.tolist():
0a558f444c98 Uploaded
greg
parents:
diff changeset
471 contig_title = 'Alignment to %s' % contig
0a558f444c98 Uploaded
greg
parents:
diff changeset
472 image_png = alignments[contig]
0a558f444c98 Uploaded
greg
parents:
diff changeset
473 self.doc.new_line()
0a558f444c98 Uploaded
greg
parents:
diff changeset
474 self.doc.new_header(level=3, title=contig_title)
0a558f444c98 Uploaded
greg
parents:
diff changeset
475 self.doc.new_line(self.doc.new_inline_image(text='contig_title', path=os.path.abspath(image_png)))
0a558f444c98 Uploaded
greg
parents:
diff changeset
476 self.doc.new_line('<div style="page-break-after: always;"></div>')
0a558f444c98 Uploaded
greg
parents:
diff changeset
477 self.doc.new_line()
2
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
478 method = 'The genome assembly was aligned against the reference sequencing using dnadiff version %s.' % self.dnadiff_version
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
479 self.methods[self.reference_methods_title] = self.methods[self.reference_methods_title].append(pandas.Series(method))
0a558f444c98 Uploaded
greg
parents:
diff changeset
480
0a558f444c98 Uploaded
greg
parents:
diff changeset
481 def add_features(self):
0a558f444c98 Uploaded
greg
parents:
diff changeset
482 self.ofh.write("\nXXXXXX In add_features\n\n")
0a558f444c98 Uploaded
greg
parents:
diff changeset
483 if len(self.feature_bed_files) == 0:
0a558f444c98 Uploaded
greg
parents:
diff changeset
484 return
0a558f444c98 Uploaded
greg
parents:
diff changeset
485 for bbf in self.feature_bed_files:
0a558f444c98 Uploaded
greg
parents:
diff changeset
486 if os.path.getsize(bbf) > 0:
0a558f444c98 Uploaded
greg
parents:
diff changeset
487 best = pandas.read_csv(filepath_or_buffer=bbf, sep='\t', header=None)
0a558f444c98 Uploaded
greg
parents:
diff changeset
488 self.feature_hits[os.path.basename(bbf)] = best
0a558f444c98 Uploaded
greg
parents:
diff changeset
489 if len(self.feature_hits) == 0:
0a558f444c98 Uploaded
greg
parents:
diff changeset
490 return
0a558f444c98 Uploaded
greg
parents:
diff changeset
491 self.ofh.write("self.feature_hits: %s\n" % str(self.feature_hits))
0a558f444c98 Uploaded
greg
parents:
diff changeset
492 self.doc.new_line()
0a558f444c98 Uploaded
greg
parents:
diff changeset
493 self.doc.new_header(level=2, title=self.feature_title)
0a558f444c98 Uploaded
greg
parents:
diff changeset
494 for feature_name in self.feature_hits.index.tolist():
0a558f444c98 Uploaded
greg
parents:
diff changeset
495 self.ofh.write("feature_name: %s\n" % str(feature_name))
0a558f444c98 Uploaded
greg
parents:
diff changeset
496 features = self.feature_hits[feature_name].copy()
0a558f444c98 Uploaded
greg
parents:
diff changeset
497 self.ofh.write("features: %s\n" % str(features))
0a558f444c98 Uploaded
greg
parents:
diff changeset
498 if features.shape[0] == 0:
0a558f444c98 Uploaded
greg
parents:
diff changeset
499 continue
0a558f444c98 Uploaded
greg
parents:
diff changeset
500 features.iloc[:, 1] = features.iloc[:, 1].apply(lambda x: '{:,}'.format(x))
0a558f444c98 Uploaded
greg
parents:
diff changeset
501 features.iloc[:, 2] = features.iloc[:, 2].apply(lambda x: '{:,}'.format(x))
0a558f444c98 Uploaded
greg
parents:
diff changeset
502 self.doc.new_line()
0a558f444c98 Uploaded
greg
parents:
diff changeset
503 self.doc.new_header(level=3, title=feature_name)
0a558f444c98 Uploaded
greg
parents:
diff changeset
504 if (features.shape[0] == 0):
0a558f444c98 Uploaded
greg
parents:
diff changeset
505 continue
0a558f444c98 Uploaded
greg
parents:
diff changeset
506 for contig in pandas.unique(features.iloc[:, 0]):
0a558f444c98 Uploaded
greg
parents:
diff changeset
507 self.ofh.write("contig: %s\n" % str(contig))
0a558f444c98 Uploaded
greg
parents:
diff changeset
508 self.doc.new_line(contig)
0a558f444c98 Uploaded
greg
parents:
diff changeset
509 contig_features = features.loc[(features.iloc[:, 0] == contig), :]
0a558f444c98 Uploaded
greg
parents:
diff changeset
510 self.ofh.write("contig_features: %s\n" % str(contig_features))
0a558f444c98 Uploaded
greg
parents:
diff changeset
511 Table_List = ['Start', 'Stop', 'Feature', 'Identity (%)', 'Strand']
0a558f444c98 Uploaded
greg
parents:
diff changeset
512 for i in range(contig_features.shape[0]):
0a558f444c98 Uploaded
greg
parents:
diff changeset
513 self.ofh.write("i: %s\n" % str(i))
0a558f444c98 Uploaded
greg
parents:
diff changeset
514 feature = contig_features.iloc[i, :].copy(deep=True)
0a558f444c98 Uploaded
greg
parents:
diff changeset
515 self.ofh.write("feature: %s\n" % str(feature))
0a558f444c98 Uploaded
greg
parents:
diff changeset
516 feature[4] = '{:.3f}'.format(feature[4])
2
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
517 self.ofh.write("feature[1:].values.tolist(): %s\n" % str(feature[1:].values.tolist()))
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
518 Table_List = Table_List + feature[1:].values.tolist()
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
519 self.ofh.write("Table_List: %s\n" % str(Table_List))
0a558f444c98 Uploaded
greg
parents:
diff changeset
520 row_count = int(len(Table_List) / 5)
0a558f444c98 Uploaded
greg
parents:
diff changeset
521 self.ofh.write("row_count: %s\n" % str(row_count))
0a558f444c98 Uploaded
greg
parents:
diff changeset
522 self.doc.new_line()
1
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
523 self.ofh.write("Before new_table, len(Table_List):: %s\n" % str(len(Table_List)))
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
524 self.doc.new_table(columns=5, rows=row_count, text=Table_List, text_align='left')
2
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
525 if self.blastn_version is not None:
11
4a7c31f28197 Uploaded
greg
parents: 10
diff changeset
526 blastn_version = 'The genome assembly was queried for features using %s.' % self.blastn_version
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
527 bedtools_version = 'Feature hits were clustered using bedtools and the highest scoring hit for each cluster was reported.'
0a558f444c98 Uploaded
greg
parents:
diff changeset
528 method = '%s %s' % (blastn_version, bedtools_version)
0a558f444c98 Uploaded
greg
parents:
diff changeset
529 self.methods[self.feature_methods_title] = self.methods[self.feature_methods_title].append(pandas.Series(method))
0a558f444c98 Uploaded
greg
parents:
diff changeset
530
0a558f444c98 Uploaded
greg
parents:
diff changeset
531 def add_feature_plots(self):
0a558f444c98 Uploaded
greg
parents:
diff changeset
532 self.ofh.write("\nXXXXXX In add_feature_plots\n\n")
0a558f444c98 Uploaded
greg
parents:
diff changeset
533 if len(self.feature_png_files) == 0:
0a558f444c98 Uploaded
greg
parents:
diff changeset
534 return
0a558f444c98 Uploaded
greg
parents:
diff changeset
535 self.doc.new_line()
0a558f444c98 Uploaded
greg
parents:
diff changeset
536 self.doc.new_header(level=2, title='Feature Plots')
0a558f444c98 Uploaded
greg
parents:
diff changeset
537 self.doc.new_paragraph('Only contigs with features are shown')
0a558f444c98 Uploaded
greg
parents:
diff changeset
538 for feature_png_file in self.feature_png_files:
0a558f444c98 Uploaded
greg
parents:
diff changeset
539 self.doc.new_line(self.doc.new_inline_image(text='Analysis', path=os.path.abspath(feature_png_file)))
0a558f444c98 Uploaded
greg
parents:
diff changeset
540
0a558f444c98 Uploaded
greg
parents:
diff changeset
541 def add_mutations(self):
0a558f444c98 Uploaded
greg
parents:
diff changeset
542 self.ofh.write("\nXXXXXX In add_mutations\n\n")
0a558f444c98 Uploaded
greg
parents:
diff changeset
543 if len(self.mutation_regions_tsv_files) == 0:
0a558f444c98 Uploaded
greg
parents:
diff changeset
544 return
8
66c7cdf7e93f Uploaded
greg
parents: 7
diff changeset
545 try:
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
546 mutation_regions = pandas.read_csv(self.mutation_regions_bed_file, sep='\t', header=0, index_col=False)
0a558f444c98 Uploaded
greg
parents:
diff changeset
547 except Exception:
0a558f444c98 Uploaded
greg
parents:
diff changeset
548 # Likely an empty file.
0a558f444c98 Uploaded
greg
parents:
diff changeset
549 return
1
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
550 # TODO: this is the only place where reference_genome is used,
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
551 # so I'm commenting it out for now. We need to confirm if these
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
552 # errors that require the reference genmoe being passed are necessary.
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
553 # If so, we'll need to implement data tables in this tool.
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
554 # Make sure that the positions in the BED file fall within
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
555 # the chromosomes provided in the reference sequence.
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
556 """
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
557 for mutation_region in range(mutation_regions.shape[0]):
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
558 mutation_region = mutation_regions.iloc[mutation_region, :]
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
559 if not (mutation_region[0] in self.reference_genome):
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
560 self.ofh.write("\nMutation region: %s not found in reference genome.\n" % ' '.join(mutation_region.astype(str)))
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
561 continue
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
562 if not isinstance(mutation_region[1], int):
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
563 self.ofh.write("\nNon-integer found in mutation region start (column 2): %s.\n" % str(mutation_region[1]))
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
564 break
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
565 elif not isinstance(mutation_region[2], int):
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
566 self.ofh.write("\nNon-integer found in mutation region start (column 3): %s.\n" % str(mutation_region[2]))
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
567 break
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
568 if mutation_region[1] <= 0 or mutation_region[2] <= 0:
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
569 self.ofh.write("\nMutation region %s starts before the reference sequence.\n" % ' '.join(mutation_region.astype(str)))
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
570 if mutation_region[1] > len(self.reference_genome[mutation_region[0]].seq) or mutation_region[2] > len(self.reference_genome[mutation_region[0]].seq):
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
571 self.ofh.write("\nMutation region %s ends after the reference sequence.\n" % ' '.join(mutation_region.astype(str)))
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
572 """
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
573 amr_mutations = pandas.Series(dtype=object)
0a558f444c98 Uploaded
greg
parents:
diff changeset
574 for region_i in range(mutation_regions.shape[0]):
0a558f444c98 Uploaded
greg
parents:
diff changeset
575 region = mutation_regions.iloc[region_i, :]
0a558f444c98 Uploaded
greg
parents:
diff changeset
576 region_name = str(region['name'])
0a558f444c98 Uploaded
greg
parents:
diff changeset
577 self.ofh.write("Processing mutations for region %s\n" % region_name)
0a558f444c98 Uploaded
greg
parents:
diff changeset
578 region_mutations_tsv_name = '%s_mutations.tsv' % region_name
0a558f444c98 Uploaded
greg
parents:
diff changeset
579 if region_mutations_tsv_name not in self.mutation_regions_tsv_files:
0a558f444c98 Uploaded
greg
parents:
diff changeset
580 continue
0a558f444c98 Uploaded
greg
parents:
diff changeset
581 region_mutations_tsv = self.mutation_regions_tsv_files[region_mutations_tsv_name]
8
66c7cdf7e93f Uploaded
greg
parents: 7
diff changeset
582 try:
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
583 region_mutations = pandas.read_csv(region_mutations_tsv, sep='\t', header=0, index_col=False)
0a558f444c98 Uploaded
greg
parents:
diff changeset
584 except Exception:
0a558f444c98 Uploaded
greg
parents:
diff changeset
585 region_mutations = pandas.DataFrame()
0a558f444c98 Uploaded
greg
parents:
diff changeset
586 if region_mutations.shape[0] == 0:
0a558f444c98 Uploaded
greg
parents:
diff changeset
587 continue
1
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
588 # Figure out what kind of mutations are in this region.
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
589 region_mutation_types = pandas.Series(['snp'] * region_mutations.shape[0], name='TYPE', index=region_mutations.index)
0a558f444c98 Uploaded
greg
parents:
diff changeset
590 region_mutation_types[region_mutations['REF'].str.len() != region_mutations['ALT'].str.len()] = 'small-indel'
0a558f444c98 Uploaded
greg
parents:
diff changeset
591 region_mutation_drugs = pandas.Series(region['drug'] * region_mutations.shape[0], name='DRUG', index=region_mutations.index)
0a558f444c98 Uploaded
greg
parents:
diff changeset
592 region_notes = pandas.Series(region['note'] * region_mutations.shape[0], name='NOTE', index=region_mutations.index)
0a558f444c98 Uploaded
greg
parents:
diff changeset
593 region_mutations = pandas.concat([region_mutations, region_mutation_types, region_mutation_drugs, region_notes], axis=1)
0a558f444c98 Uploaded
greg
parents:
diff changeset
594 region_mutations = region_mutations[['#CHROM', 'POS', 'TYPE', 'REF', 'ALT', 'DRUG', 'NOTE']]
0a558f444c98 Uploaded
greg
parents:
diff changeset
595 amr_mutations[region['name']] = region_mutations
2
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
596 if (amr_mutations.shape[0] > 0):
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
597 # Report the mutations.
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
598 self.doc.new_line()
2
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
599 self.doc.new_header(level=2, title=self.mutation_title)
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
600 for region_name in amr_mutations.index.tolist():
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
601 region_mutations = amr_mutations[region_name].copy()
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
602 self.doc.new_line()
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
603 self.doc.new_header(level=3, title=region_name)
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
604 if (region_mutations.shape[0] == 0):
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
605 self.doc.append('None')
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
606 continue
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
607 region_mutations.iloc[:, 1] = region_mutations.iloc[:, 1].apply(lambda x: '{:,}'.format(x))
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
608 Table_List = ['Reference contig', 'Position', 'Reference', 'Alternate', 'Drug', 'Note']
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
609 for i in range(region_mutations.shape[0]):
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
610 Table_List = Table_List + region_mutations.iloc[i, [0, 1, 3, 4, 5, 6]].values.tolist()
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
611 row_count = int(len(Table_List) / 6)
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
612 self.doc.new_table(columns=6, rows=row_count, text=Table_List, text_align='left')
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
613 method = '%s reads were mapped to the reference sequence using minimap2.' % self.read_type
0a558f444c98 Uploaded
greg
parents:
diff changeset
614 self.methods[self.mutation_methods_title] = self.methods[self.mutation_methods_title].append(pandas.Series(method))
0a558f444c98 Uploaded
greg
parents:
diff changeset
615 method = 'Mutations were identified using samtools mpileup and varscan.'
0a558f444c98 Uploaded
greg
parents:
diff changeset
616 self.methods[self.mutation_methods_title] = self.methods[self.mutation_methods_title].append(pandas.Series(method))
0a558f444c98 Uploaded
greg
parents:
diff changeset
617
0a558f444c98 Uploaded
greg
parents:
diff changeset
618 def add_amr_matrix(self):
0a558f444c98 Uploaded
greg
parents:
diff changeset
619 self.ofh.write("\nXXXXXX In add_amr_matrix\n\n")
0a558f444c98 Uploaded
greg
parents:
diff changeset
620 # Make sure that we have an AMR matrix to plot
1
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
621 if len(self.amr_matrix_files) == 0:
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
622 return
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
623 self.doc.new_line()
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
624 self.doc.new_header(level=2, title=self.amr_matrix_title)
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
625 self.doc.new_line('AMR genes and mutations with their corresponding drugs')
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
626 for amr_matrix_file in self.amr_matrix_files:
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
627 self.doc.new_line(self.doc.new_inline_image(text='AMR genes and mutations with their corresponding drugs',
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
628 path=os.path.abspath(amr_matrix_file)))
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
629
0a558f444c98 Uploaded
greg
parents:
diff changeset
630 def add_large_indels(self):
0a558f444c98 Uploaded
greg
parents:
diff changeset
631 self.ofh.write("\nXXXXXX In add_large_indels\n\n")
1
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
632 large_indels = pandas.Series(dtype='float64')
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
633 # Pull in insertions.
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
634 try:
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
635 reference_insertions = pandas.read_csv(filepath_or_buffer=self.reference_insertions_file, sep='\t', header=None)
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
636 except Exception:
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
637 reference_insertions = pandas.DataFrame()
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
638 try:
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
639 genome_insertions = pandas.read_csv(filepath_or_buffer=self.genome_insertions_file, sep='\t', header=None)
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
640 except Exception:
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
641 genome_insertions = pandas.DataFrame()
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
642 large_indels['Reference insertions'] = reference_insertions
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
643 large_indels['Query insertions'] = genome_insertions
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
644 # TODO: we don't seem to be reporting snps and deletions for some reason...
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
645 # Pull in the number of SNPs and small indels.
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
646 try:
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
647 snps = pandas.read_csv(filepath_or_buffer=self.dnadiff_snps_file, sep='\t', header=None)
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
648 # TODO: the following is not used...
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
649 # small_indels = snps.loc[(snps.iloc[:, 1] == '.') | (snps.iloc[:, 2] == '.'), :]
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
650 snps = snps.loc[(snps.iloc[:, 1] != '.') & (snps.iloc[:, 2] != '.'), :]
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
651 except Exception:
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
652 snps = pandas.DataFrame()
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
653 # Pull in deletions.
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
654 try:
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
655 amr_deletions = pandas.read_csv(filepath_or_buffer=self.amr_deletion_file, sep='\t', header=None)
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
656 except Exception:
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
657 amr_deletions = pandas.DataFrame()
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
658 if amr_deletions.shape[0] > 0:
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
659 amr_deletions.columns = ['contig', 'start', 'stop', 'name', 'type', 'drug', 'note']
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
660 amr_deletions = amr_deletions.loc[amr_deletions['type'].isin(['large-deletion', 'any']), :]
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
661 self.doc.new_line()
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
662 self.doc.new_header(level=2, title=self.large_indel_title)
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
663 for genome in ['Reference insertions', 'Query insertions']:
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
664 genome_indels = large_indels[genome].copy()
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
665 self.doc.new_line()
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
666 self.doc.new_header(level=3, title=genome)
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
667 if (genome_indels.shape[0] == 0):
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
668 continue
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
669 genome_indels.iloc[:, 1] = genome_indels.iloc[:, 1].apply(lambda x: '{:,}'.format(x))
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
670 genome_indels.iloc[:, 2] = genome_indels.iloc[:, 2].apply(lambda x: '{:,}'.format(x))
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
671 genome_indels.iloc[:, 3] = genome_indels.iloc[:, 3].apply(lambda x: '{:,}'.format(x))
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
672 Table_List = [
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
673 'Reference contig', 'Start', 'Stop', 'Size (bp)'
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
674 ]
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
675 for i in range(genome_indels.shape[0]):
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
676 Table_List = Table_List + genome_indels.iloc[i, :].values.tolist()
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
677 row_count = int(len(Table_List) / 4)
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
678 self.doc.new_table(columns=4, rows=row_count, text=Table_List, text_align='left')
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
679 method = 'Large insertions or deletions were found as the complement of aligned regions using bedtools.'
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
680 self.methods[self.reference_methods_title] = self.methods[self.reference_methods_title].append(pandas.Series(method))
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
681 self.doc.new_line()
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
682 self.doc.new_line('<div style="page-break-after: always;"></div>')
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
683 self.doc.new_line()
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
684
0a558f444c98 Uploaded
greg
parents:
diff changeset
685 def add_plasmids(self):
8
66c7cdf7e93f Uploaded
greg
parents: 7
diff changeset
686 try:
1
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
687 plasmids = pandas.read_csv(filepath_or_buffer=self.plasmids_file, sep='\t', header=0)
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
688 except Exception:
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
689 return
0a558f444c98 Uploaded
greg
parents:
diff changeset
690 plasmids = plasmids.copy()
0a558f444c98 Uploaded
greg
parents:
diff changeset
691 self.doc.new_line()
1
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
692 self.doc.new_header(level=2, title=self.plasmid_title)
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
693 if (plasmids.shape[0] == 0):
0a558f444c98 Uploaded
greg
parents:
diff changeset
694 self.doc.new_line('None')
0a558f444c98 Uploaded
greg
parents:
diff changeset
695 return
0a558f444c98 Uploaded
greg
parents:
diff changeset
696 plasmids.iloc[:, 3] = plasmids.iloc[:, 3].apply(lambda x: '{:,}'.format(x))
0a558f444c98 Uploaded
greg
parents:
diff changeset
697 plasmids.iloc[:, 4] = plasmids.iloc[:, 4].apply(lambda x: '{:,}'.format(x))
0a558f444c98 Uploaded
greg
parents:
diff changeset
698 plasmids.iloc[:, 5] = plasmids.iloc[:, 5].apply(lambda x: '{:,}'.format(x))
1
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
699 Table_List = ['Genome contig', 'Plasmid hit', 'Plasmid acc.', 'Contig size', 'Aliged', 'Plasmid size']
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
700 for i in range(plasmids.shape[0]):
0a558f444c98 Uploaded
greg
parents:
diff changeset
701 Table_List = Table_List + plasmids.iloc[i, 0:6].values.tolist()
0a558f444c98 Uploaded
greg
parents:
diff changeset
702 row_count = int(len(Table_List) / 6)
0a558f444c98 Uploaded
greg
parents:
diff changeset
703 self.doc.new_table(columns=6, rows=row_count, text=Table_List, text_align='left')
0a558f444c98 Uploaded
greg
parents:
diff changeset
704 method = 'The plasmid reference database was queried against the genome assembly using minimap2.'
0a558f444c98 Uploaded
greg
parents:
diff changeset
705 self.methods[self.plasmid_methods_title] = self.methods[self.plasmid_methods_title].append(pandas.Series(method))
2
9cb62054a87a Uploaded
greg
parents: 1
diff changeset
706 method = 'The resulting BAM was converted to a PSL using a custom version of sam2psl.'
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
707 self.methods[self.plasmid_methods_title] = self.methods[self.plasmid_methods_title].append(pandas.Series(method))
0a558f444c98 Uploaded
greg
parents:
diff changeset
708 method = 'Plasmid-to-genome hits were resolved using the pChunks algorithm.'
0a558f444c98 Uploaded
greg
parents:
diff changeset
709 self.methods[self.plasmid_methods_title] = self.methods[self.plasmid_methods_title].append(pandas.Series(method))
0a558f444c98 Uploaded
greg
parents:
diff changeset
710
0a558f444c98 Uploaded
greg
parents:
diff changeset
711 def add_methods(self):
0a558f444c98 Uploaded
greg
parents:
diff changeset
712 self.ofh.write("\nXXXXXX In add_methods\n\n")
0a558f444c98 Uploaded
greg
parents:
diff changeset
713 self.doc.new_line('<div style="page-break-after: always;"></div>')
0a558f444c98 Uploaded
greg
parents:
diff changeset
714 self.doc.new_line()
0a558f444c98 Uploaded
greg
parents:
diff changeset
715 if len(self.methods) == 0:
0a558f444c98 Uploaded
greg
parents:
diff changeset
716 return
0a558f444c98 Uploaded
greg
parents:
diff changeset
717 self.doc.new_line()
0a558f444c98 Uploaded
greg
parents:
diff changeset
718 self.doc.new_header(level=2, title=self.methods_title)
0a558f444c98 Uploaded
greg
parents:
diff changeset
719 for methods_section in self.methods.index.tolist():
0a558f444c98 Uploaded
greg
parents:
diff changeset
720 if self.methods[methods_section] is None or len(self.methods[methods_section]) == 0:
0a558f444c98 Uploaded
greg
parents:
diff changeset
721 continue
0a558f444c98 Uploaded
greg
parents:
diff changeset
722 self.doc.new_line()
0a558f444c98 Uploaded
greg
parents:
diff changeset
723 self.doc.new_header(level=3, title=methods_section)
0a558f444c98 Uploaded
greg
parents:
diff changeset
724 self.doc.new_paragraph(' '.join(self.methods[methods_section]))
0a558f444c98 Uploaded
greg
parents:
diff changeset
725
0a558f444c98 Uploaded
greg
parents:
diff changeset
726 def add_summary(self):
0a558f444c98 Uploaded
greg
parents:
diff changeset
727 self.ofh.write("\nXXXXXX In add_summary\n\n")
0a558f444c98 Uploaded
greg
parents:
diff changeset
728 # Add summary title
0a558f444c98 Uploaded
greg
parents:
diff changeset
729 self.doc.new_header(level=1, title=self.summary_title)
0a558f444c98 Uploaded
greg
parents:
diff changeset
730 # First section of Summary
0a558f444c98 Uploaded
greg
parents:
diff changeset
731 self.doc.new_header(level=1, title='CDC Advisory')
0a558f444c98 Uploaded
greg
parents:
diff changeset
732 self.doc.new_paragraph(CDC_ADVISORY)
0a558f444c98 Uploaded
greg
parents:
diff changeset
733 self.doc.new_line()
0a558f444c98 Uploaded
greg
parents:
diff changeset
734 self.add_run_information()
0a558f444c98 Uploaded
greg
parents:
diff changeset
735 self.add_ont_library_information()
0a558f444c98 Uploaded
greg
parents:
diff changeset
736 methods = []
0a558f444c98 Uploaded
greg
parents:
diff changeset
737 if self.did_guppy_ont_fast5:
0a558f444c98 Uploaded
greg
parents:
diff changeset
738 methods += ['ONT reads were basecalled using guppy']
0a558f444c98 Uploaded
greg
parents:
diff changeset
739 if self.did_qcat_ont_fastq:
0a558f444c98 Uploaded
greg
parents:
diff changeset
740 methods += ['ONT reads were demultiplexed and trimmed using qcat']
0a558f444c98 Uploaded
greg
parents:
diff changeset
741 self.methods[self.basecalling_methods_title] = pandas.Series(methods)
0a558f444c98 Uploaded
greg
parents:
diff changeset
742 self.add_illumina_library_information()
1
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
743 self.add_contig_info()
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
744 self.evaluate_assembly()
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
745 self.add_assembly_information()
1
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
746 if self.flye_assembly_info_file is not None:
11
4a7c31f28197 Uploaded
greg
parents: 10
diff changeset
747 method = 'ONT reads were assembled using %s' % self.flye_version.rstrip('assembly info')
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
748 self.methods[self.assembly_methods_title] = self.methods[self.assembly_methods_title].append(pandas.Series(method))
1
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
749 # Pull in the assembly summary and look at the coverage.
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
750 assembly_info = pandas.read_csv(self.flye_assembly_info_file, header=0, index_col=0, sep='\t')
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
751 # Look for non-circular contigs.
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
752 open_contigs = assembly_info.loc[assembly_info['circ.'] == 'N', :]
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
753 if open_contigs.shape[0] > 0:
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
754 open_contig_ids = open_contigs.index.values
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
755 warning = 'Flye reported {:d} open contigs ({:s}); assembly may be incomplete.'.format(open_contigs.shape[0], ', '.join(open_contig_ids))
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
756 self.assembly_notes = self.assembly_notes.append(pandas.Series(warning))
0
0a558f444c98 Uploaded
greg
parents:
diff changeset
757 if self.did_medaka_ont_assembly:
0a558f444c98 Uploaded
greg
parents:
diff changeset
758 method = 'the genome assembly was polished using ont reads and medaka.'
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759 self.methods[self.assembly_methods_title] = self.methods[self.assembly_methods_title].append(pandas.series(method))
1
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parents: 0
diff changeset
760 self.info_ont_fastq(self.illumina_fastq_file)
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parents: 0
diff changeset
761 self.add_assembly_notes()
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762
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diff changeset
763 def make_tex(self):
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764 self.doc.new_table_of_contents(table_title='detailed run information', depth=2, marker="tableofcontents")
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parents:
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765 text = self.doc.file_data_text
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parents:
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766 text = text.replace("##--[", "")
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diff changeset
767 text = text.replace("]--##", "")
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diff changeset
768 self.doc.file_data_text = text
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parents:
diff changeset
769 self.doc.create_md_file()
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parents:
diff changeset
770
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diff changeset
771 def make_report(self):
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772 self.ofh.write("\nXXXXXX In make_report\n\n")
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diff changeset
773 self.start_doc()
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diff changeset
774 self.add_summary()
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diff changeset
775 self.add_contamination()
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diff changeset
776 self.add_alignment()
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diff changeset
777 self.add_features()
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diff changeset
778 self.add_feature_plots()
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diff changeset
779 self.add_mutations()
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diff changeset
780 self.add_large_indels()
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diff changeset
781 self.add_plasmids()
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782 self.add_amr_matrix()
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783 # self.add_snps()
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diff changeset
784 self.add_methods()
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parents:
diff changeset
785 self.make_tex()
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parents:
diff changeset
786 # It took me quite a long time to find out that the value of the -t
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parents:
diff changeset
787 # (implied) argument in the following command must be 'html' instead of
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greg
parents:
diff changeset
788 # the more logical 'pdf'. see the answer from snsn in this thread:
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parents:
diff changeset
789 # https://github.com/jessicategner/pypandoc/issues/186
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parents:
diff changeset
790 self.ofh.write("\nXXXXX In make_report, calling pypandoc.convert_file...\n\n")
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parents:
diff changeset
791 pypandoc.convert_file(self.report_md,
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diff changeset
792 'html',
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793 extra_args=['--pdf-engine=weasyprint', '-V', '-css=%s' % self.pima_css],
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794 outputfile='pima_report.pdf')
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parents:
diff changeset
795 self.ofh.close()
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diff changeset
796
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diff changeset
797
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diff changeset
798 parser = argparse.ArgumentParser()
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diff changeset
799
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parents: 0
diff changeset
800 parser.add_argument('--amr_deletions_file', action='store', dest='amr_deletions_file', help='AMR deletions BED file')
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parents: 0
diff changeset
801 parser.add_argument('--amr_matrix_png_dir', action='store', dest='amr_matrix_png_dir', help='Directory of AMR matrix PNG files')
0
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greg
parents:
diff changeset
802 parser.add_argument('--analysis_name', action='store', dest='analysis_name', help='Sample identifier')
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parents:
diff changeset
803 parser.add_argument('--assembly_fasta_file', action='store', dest='assembly_fasta_file', help='Assembly fasta file')
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greg
parents:
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804 parser.add_argument('--assembly_name', action='store', dest='assembly_name', help='Assembly identifier')
2
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parents: 1
diff changeset
805 parser.add_argument('--blastn_version', action='store', dest='blastn_version', default=None, help='Blastn version string')
1
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parents: 0
diff changeset
806 parser.add_argument('--compute_sequence_length_file', action='store', dest='compute_sequence_length_file', help='Comnpute sequence length tabular file')
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parents: 0
diff changeset
807 parser.add_argument('--contig_coverage_file', action='store', dest='contig_coverage_file', help='Contig coverage TSV file')
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parents: 0
diff changeset
808 parser.add_argument('--dbkey', action='store', dest='dbkey', help='Reference genome identifier')
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parents: 0
diff changeset
809 parser.add_argument('--dnadiff_snps_file', action='store', dest='dnadiff_snps_file', help='DNAdiff snps tabular file')
2
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parents: 1
diff changeset
810 parser.add_argument('--dnadiff_version', action='store', dest='dnadiff_version', help='DNAdiff version string')
0
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greg
parents:
diff changeset
811 parser.add_argument('--feature_bed_dir', action='store', dest='feature_bed_dir', help='Directory of best feature hits bed files')
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parents:
diff changeset
812 parser.add_argument('--feature_png_dir', action='store', dest='feature_png_dir', help='Directory of best feature hits png files')
1
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parents: 0
diff changeset
813 parser.add_argument('--flye_assembly_info_file', action='store', dest='flye_assembly_info_file', default=None, help='Flye assembly info tabular file')
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greg
parents: 0
diff changeset
814 parser.add_argument('--flye_version', action='store', dest='flye_version', default=None, help='Flye version string')
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parents: 0
diff changeset
815 parser.add_argument('--genome_insertions_file', action='store', dest='genome_insertions_file', help='Genome insertions BED file')
0
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parents:
diff changeset
816 parser.add_argument('--gzipped', action='store_true', dest='gzipped', default=False, help='Input sample is gzipped')
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parents:
diff changeset
817 parser.add_argument('--illumina_fastq_file', action='store', dest='illumina_fastq_file', help='Input sample')
2
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parents: 1
diff changeset
818 parser.add_argument('--kraken2_report_file', action='store', dest='kraken2_report_file', default=None, help='kraken2 report file')
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greg
parents: 1
diff changeset
819 parser.add_argument('--kraken2_version', action='store', dest='kraken2_version', default=None, help='kraken2 version string')
0
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greg
parents:
diff changeset
820 parser.add_argument('--mutation_regions_bed_file', action='store', dest='mutation_regions_bed_file', help='AMR mutation regions BRD file')
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parents:
diff changeset
821 parser.add_argument('--mutation_regions_dir', action='store', dest='mutation_regions_dir', help='Directory of mutation regions TSV files')
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parents:
diff changeset
822 parser.add_argument('--pima_css', action='store', dest='pima_css', help='PIMA css stypesheet')
1
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parents: 0
diff changeset
823 parser.add_argument('--plasmids_file', action='store', dest='plasmids_file', help='pChunks plasmids TSV file')
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parents: 0
diff changeset
824 parser.add_argument('--reference_insertions_file', action='store', dest='reference_insertions_file', help='Reference insertions BED file')
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parents: 0
diff changeset
825 # parser.add_argument('--reference_genome', action='store', dest='reference_genome', help='Reference genome fasta file')
0
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parents:
diff changeset
826
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parents:
diff changeset
827 args = parser.parse_args()
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parents:
diff changeset
828
1
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parents: 0
diff changeset
829 # Prepare the AMR matrix PNG files.
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parents: 0
diff changeset
830 amr_matrix_files = []
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parents: 0
diff changeset
831 for file_name in sorted(os.listdir(args.amr_matrix_png_dir)):
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parents: 0
diff changeset
832 file_path = os.path.abspath(os.path.join(args.amr_matrix_png_dir, file_name))
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parents: 0
diff changeset
833 amr_matrix_files.append(file_path)
0
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parents:
diff changeset
834 # Prepare the features BED files.
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parents:
diff changeset
835 feature_bed_files = []
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parents:
diff changeset
836 for file_name in sorted(os.listdir(args.feature_bed_dir)):
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parents:
diff changeset
837 file_path = os.path.abspath(os.path.join(args.feature_bed_dir, file_name))
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parents:
diff changeset
838 feature_bed_files.append(file_path)
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greg
parents:
diff changeset
839 # Prepare the features PNG files.
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greg
parents:
diff changeset
840 feature_png_files = []
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greg
parents:
diff changeset
841 for file_name in sorted(os.listdir(args.feature_png_dir)):
0a558f444c98 Uploaded
greg
parents:
diff changeset
842 file_path = os.path.abspath(os.path.join(args.feature_png_dir, file_name))
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greg
parents:
diff changeset
843 feature_png_files.append(file_path)
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greg
parents:
diff changeset
844 # Prepare the mutation regions TSV files.
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greg
parents:
diff changeset
845 mutation_regions_files = []
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greg
parents:
diff changeset
846 for file_name in sorted(os.listdir(args.mutation_regions_dir)):
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greg
parents:
diff changeset
847 file_path = os.path.abspath(os.path.join(args.feature_png_dir, file_name))
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parents:
diff changeset
848 mutation_regions_files.append(file_path)
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parents:
diff changeset
849
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parents:
diff changeset
850 markdown_report = PimaReport(args.analysis_name,
1
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parents: 0
diff changeset
851 args.amr_deletions_file,
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parents: 0
diff changeset
852 amr_matrix_files,
0
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parents:
diff changeset
853 args.assembly_fasta_file,
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greg
parents:
diff changeset
854 args.assembly_name,
2
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parents: 1
diff changeset
855 args.blastn_version,
1
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parents: 0
diff changeset
856 args.compute_sequence_length_file,
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greg
parents: 0
diff changeset
857 args.contig_coverage_file,
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greg
parents: 0
diff changeset
858 args.dbkey,
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
859 args.dnadiff_snps_file,
2
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greg
parents: 1
diff changeset
860 args.dnadiff_version,
0
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greg
parents:
diff changeset
861 feature_bed_files,
0a558f444c98 Uploaded
greg
parents:
diff changeset
862 feature_png_files,
1
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greg
parents: 0
diff changeset
863 args.flye_assembly_info_file,
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
864 args.flye_version,
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greg
parents: 0
diff changeset
865 args.genome_insertions_file,
0
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greg
parents:
diff changeset
866 args.gzipped,
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greg
parents:
diff changeset
867 args.illumina_fastq_file,
2
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greg
parents: 1
diff changeset
868 args.kraken2_report_file,
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greg
parents: 1
diff changeset
869 args.kraken2_version,
0
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greg
parents:
diff changeset
870 args.mutation_regions_bed_file,
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greg
parents:
diff changeset
871 mutation_regions_files,
1
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greg
parents: 0
diff changeset
872 args.pima_css,
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
873 args.plasmids_file,
67d0939b56b0 Uploaded
greg
parents: 0
diff changeset
874 args.reference_insertions_file)
0
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greg
parents:
diff changeset
875 markdown_report.make_report()